Xiao Yang

Mountain View, California, United States
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Summary

👤
Senior
🎓
Top School
Xiao Yang is a Lead Machine Learning Engineer and Architect based in Mountain View with a decade of experience designing and operating large-scale AI systems across media, finance, and consulting. He has led end-to-end ML initiatives—from roadmap and infrastructure design on AWS SageMaker and S3 to production deployment and model variants that incrementally shift traffic—delivering personalization, churn prediction, and retention models with measurable business impact. Xiao’s background spans building fault-tolerant Hadoop/Spark pipelines for billions of events, deep personalization engines for tens of millions of users, and real-time ML-powered APIs, reflecting strong full-stack ML and data engineering skills. At McKinsey he now applies that product-minded engineering rigor to enterprise AI architecture, while earlier roles show hands-on experience with NLP, XGBoost/LightGBM stacks, and operational monitoring to meet production thresholds. Notably, he combines an MBA and MSIS with nanodegrees in machine and deep learning, blending strategic business insight with practical model-building and deployment expertise.
code10 years of coding experience
job14 years of employment as a software developer
bookMaster of Business Administration MBA, Master of Business Administration MBA at Questrom School of Business, Boston University
bookMachine Learning Engineer Nanodegree Machine Learning, Machine Learning Engineer Nanodegree Machine Learning at Udacity
bookMaster of Science in Information System MSIS, Master of Science in Information System MSIS at Boston University
languagesEnglish, Chinese
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Github Skills (10)

cpp6
reinforcement-learning6
active-learning6
machine-learning5
vowpal-wabbit3
optimization2
python2
hyper2
ai1
rapids1

Programming languages (4)

TypeScriptShellC++Python

Github contributions (5)

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Contributions:66 commits, 59 pushes, 1 branch in 20 days
Contributions:28 commits, 27 pushes, 1 branch in 4 months
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